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Increasing the Efficiency of Genome-wide Association Mapping via Hidden Markov Models

Hong Gao, Hua Tang, Carlos D. Bustamante
doi: https://doi.org/10.1101/039099

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doi 
https://doi.org/10.1101/039099
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  • February 9, 2016.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Hong Gao1,
  2. Hua Tang2 and
  3. Carlos D. Bustamante2,*
  1. 1Stanford Genome Technology Center and Department of Biochemistry, Stanford University, Stanford, CA
  2. 2Department of Genetics, Stanford University, Stanford, CA
  1. ↵*E-mail: cdbustam{at}stanford.edu
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Posted February 09, 2016.
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Increasing the Efficiency of Genome-wide Association Mapping via Hidden Markov Models
Hong Gao, Hua Tang, Carlos D. Bustamante
bioRxiv 039099; doi: https://doi.org/10.1101/039099
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